{"id":"https://openalex.org/W4319454799","doi":"https://doi.org/10.1142/s0129054122460017","title":"A Novel Image Clustering Algorithm Based on Supported Nearest Neighbors","display_name":"A Novel Image Clustering Algorithm Based on Supported Nearest Neighbors","publication_year":2023,"publication_date":"2023-02-08","ids":{"openalex":"https://openalex.org/W4319454799","doi":"https://doi.org/10.1142/s0129054122460017"},"language":"en","primary_location":{"id":"doi:10.1142/s0129054122460017","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129054122460017","pdf_url":null,"source":{"id":"https://openalex.org/S68047077","display_name":"International Journal of Foundations of Computer Science","issn_l":"0129-0541","issn":["0129-0541","1793-6373"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Foundations of Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/A_Novel_Image_Clustering_Algorithm_Based_on_Supported_Nearest_Neighbors/22736504","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100412878","display_name":"Lin Li","orcid":"https://orcid.org/0000-0002-4364-301X"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032302425","display_name":"Feng Zhang","orcid":"https://orcid.org/0000-0003-1699-2115"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, China"],"raw_orcid":"https://orcid.org/0000-0003-1699-2115","affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002742732","display_name":"Jiashuai Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiashuai Zhang","raw_affiliation_strings":["Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064830115","display_name":"Qiang Hua","orcid":"https://orcid.org/0000-0001-9017-0043"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Hua","raw_affiliation_strings":["Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018560081","display_name":"Chun-Ru Dong","orcid":"https://orcid.org/0000-0003-1726-5534"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Ru Dong","raw_affiliation_strings":["Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072923302","display_name":"Chee Peng Lim","orcid":"https://orcid.org/0000-0003-4191-9083"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chee-Peng Lim","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation, Deakin University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5032302425"],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.1704,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51879738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"36","issue":"05","first_page":"599","last_page":"618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9603999853134155,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.948199987411499,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7999064922332764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6659587621688843},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6374538540840149},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.604703962802887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.602228581905365},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5992139577865601},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5881866216659546},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.570859432220459},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5491670370101929},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.45915451645851135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32718151807785034}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7999064922332764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6659587621688843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6374538540840149},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.604703962802887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.602228581905365},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5992139577865601},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5881866216659546},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.570859432220459},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5491670370101929},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.45915451645851135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32718151807785034},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0129054122460017","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129054122460017","pdf_url":null,"source":{"id":"https://openalex.org/S68047077","display_name":"International Journal of Foundations of Computer Science","issn_l":"0129-0541","issn":["0129-0541","1793-6373"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Foundations of Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/22736504","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_Novel_Image_Clustering_Algorithm_Based_on_Supported_Nearest_Neighbors/22736504","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/22736504","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_Novel_Image_Clustering_Algorithm_Based_on_Supported_Nearest_Neighbors/22736504","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5972050051","display_name":null,"funder_award_id":"F2018201115","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G8901065387","display_name":null,"funder_award_id":"61773150","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1970088388","https://openalex.org/W2020735245","https://openalex.org/W2063971957","https://openalex.org/W2194775991","https://openalex.org/W2293078015","https://openalex.org/W2779692282","https://openalex.org/W2798991696","https://openalex.org/W2962852342","https://openalex.org/W2990500698","https://openalex.org/W2994560339","https://openalex.org/W3034363127","https://openalex.org/W3035524453","https://openalex.org/W3087124270","https://openalex.org/W3110446398","https://openalex.org/W3128380325","https://openalex.org/W3158714121","https://openalex.org/W3164408549","https://openalex.org/W3169314462","https://openalex.org/W3171007011","https://openalex.org/W3172142616","https://openalex.org/W4214573674","https://openalex.org/W4285787895"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W2121910908"],"abstract_inverted_index":{"Unsupervised":[0],"image":[1,38,73],"clustering":[2,13,97,110,179],"is":[3,69,174],"a":[4,75,108,127],"challenging":[5],"task":[6],"in":[7,51,74,90],"computer":[8],"vision.":[9],"Recently,":[10],"various":[11],"deep":[12,109],"algorithms":[14],"based":[15,112],"on":[16,113,164,188],"contrastive":[17],"learning":[18],"have":[19],"achieved":[20],"promising":[21],"performance":[22,98,171],"and":[23,42,58,93,130,157,186,190],"some":[24],"distinguishable":[25],"features":[26,151],"representation":[27,152],"were":[28],"obtained":[29],"only":[30],"by":[31,125],"taking":[32,47],"different":[33],"augmented":[34],"views":[35],"of":[36,122,172,184],"same":[37,53,80],"as":[39,55],"positive":[40,120],"pairs":[41,57,121],"maximizing":[43],"their":[44,60],"similarities,":[45],"whereas":[46],"other":[48],"images\u2019":[49],"augmentations":[50],"the":[52,65,79,84,96,137,170,177],"batch":[54,76],"negative":[56,85],"minimizing":[59],"similarities.":[61],"However,":[62],"due":[63],"to":[64,78,95,102,176],"fact":[66],"that":[67,169],"there":[68],"more":[70,149],"than":[71],"one":[72],"belong":[77],"class,":[81],"simply":[82],"pushing":[83],"instances":[86],"apart":[87],"will":[88],"result":[89],"inter-class":[91,160],"conflictions":[92],"lead":[94],"degradation.":[99],"In":[100],"order":[101],"solve":[103],"this":[104],"problem,":[105],"we":[106],"propose":[107],"algorithm":[111],"supported":[114],"nearest":[115,134],"neighbors":[116,135],"(SNDC),":[117],"which":[118],"constructs":[119],"current":[123],"images":[124],"maintaining":[126],"support":[128,138],"set":[129],"find":[131],"its":[132],"k":[133],"from":[136],"set.":[139],"By":[140],"going":[141],"beyond":[142],"single":[143],"instance":[144],"positive,":[145],"SNDC":[146,173],"can":[147],"learn":[148],"generalized":[150],"with":[153,181],"inherent":[154],"semantic":[155],"meaning":[156],"therefore":[158],"alleviating":[159],"conflictions.":[161],"Experimental":[162],"results":[163],"multiple":[165],"benchmark":[166],"datasets":[167],"show":[168],"superior":[175],"state-of-the-art":[178],"models,":[180],"accuracy":[182],"improvement":[183],"6.2%":[185],"20.5%":[187],"CIFAR-10":[189],"ImageNet-Dogs":[191],"respectively.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
